We evaluate the local feature matching on HPatches using Mean Matching Accuracy (MMA). A feature correspondence is considered to be correct if the back-projection of the keypoint using the ground truth homography matrix falls within a specific pixel threshold. We use pixel threshold of 3 for plots showing performance at various angles. Figure REF  shows performance averaged across all angles for different pixel thresholds.
We also compare the performance after filtering the correspondences with RANSAC since it is typically used to filter matches for tasks like VPR [1]}, [2]} and 6-DoF pose estimation [3]}.
